Rapid detection of Chinese sacbrood virus via CRISPR-Cas13a-based lateral flow strips

Abstract Sacbrood virus (SBV) is one of the most pathogenic honeybee viruses with host specificity and regional variation. The SBV strain infecting the Chinese honeybee ( Apis cerana ) is known as Chinese sacbrood virus (CSBV). The extensively used CSBV detection methods require professionals and expensive equipment; thus, they are unsuitable for rapid onsite CSBV detection. To achieve early and rapid detection of CSBV, we developed a lateral flow detection (LFD) strip method for CSBV detection via clustered regularly interspaced short palindromic repeats (CRISPR) and the Cas13a technique. On the basis of the conserved CSBV VP2 gene nucleotide region, we designed 3 recombinant enzyme-assisted amplification (RAA) primer pairs and prepared 3 corresponding crRNAs. We investigated key performance metrics, including the sensitivity, specificity, and accuracy of LFD strips. The results demonstrated that the LFD strip based on the optimal combination (primer 2+crRNA 2) presented the lowest detection limit (2.80×10 1 copies/μL), and this strip could complete CSBV detection within 1 h. Furthermore, this strip exhibited excellent detection specificity, with no cross-reactivity with four other honeybee viruses. A test of 100 clinical samples indicated the feasibility of the LFD method for CSBV detection. A comparison of various CSBV detection methods revealed that the CRISPR-Cas13a-based LFD method was more accurate, efficient, and sensitive than the other methods were, indicating great application prospects in onsite CSBV detection. Our developed method is highly important for preventing and controlling CSBV infection as well as maintaining honeybee health.

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Publication Details

Journal
Animal Diseases
Published
2025-09-04
DOI
https://doi.org/10.1186/s44149-025-00188-5
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Rapid detection of Chinese sacbrood virus via CRISPR-Cas13a-based lateral flow strips

Shengbo Cao, Hehao Ouyang, Junzhao Li, Wei Pang et al.
1 links
Animal Diseases
CRISPR and Genetic Engineering
article

Rapid detection of Chinese sacbrood virus via CRISPR-Cas13a-based lateral flow strips

Shengbo Cao, Hehao Ouyang, Junzhao Li, Wei Pang, Jiawei Liu, Xiang Li, Na Liu
article en

Abstract

Abstract Sacbrood virus (SBV) is one of the most pathogenic honeybee viruses with host specificity and regional variation. The SBV strain infecting the Chinese honeybee ( Apis cerana ) is known as Chinese sacbrood virus (CSBV). The extensively used CSBV detection methods require professionals and expensive equipment; thus, they are unsuitable for rapid onsite CSBV detection. To achieve early and rapid detection of CSBV, we developed a lateral flow detection (LFD) strip method for CSBV detection via clustered regularly interspaced short palindromic repeats (CRISPR) and the Cas13a technique. On the basis of the conserved CSBV VP2 gene nucleotide region, we designed 3 recombinant enzyme-assisted amplification (RAA) primer pairs and prepared 3 corresponding crRNAs. We investigated key performance metrics, including the sensitivity, specificity, and accuracy of LFD strips. The results demonstrated that the LFD strip based on the optimal combination (primer 2+crRNA 2) presented the lowest detection limit (2.80×10 1 copies/μL), and this strip could complete CSBV detection within 1 h. Furthermore, this strip exhibited excellent detection specificity, with no cross-reactivity with four other honeybee viruses. A test of 100 clinical samples indicated the feasibility of the LFD method for CSBV detection. A comparison of various CSBV detection methods revealed that the CRISPR-Cas13a-based LFD method was more accurate, efficient, and sensitive than the other methods were, indicating great application prospects in onsite CSBV detection. Our developed method is highly important for preventing and controlling CSBV infection as well as maintaining honeybee health.

Animal DiseasesVol. 5(1)
Huazhong Agricultural University (CN), Ministry of Agriculture (CA)
National Key Research and Development Program of China
Openalex Percentile: Top 79%
CRISPR and Genetic Engineering
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